Triple

T14615162
Position Surface form Disambiguated ID Type / Status
Subject Mátraháza E343064 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Kékes summit E338310 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kékes summit | Statement: [Mátraháza, hasNearbyAttraction, Kékes summit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kékes summit
Context triple: [Mátraháza, hasNearbyAttraction, Kékes summit]
  • A. Dürrenhorn
    Dürrenhorn is a prominent alpine peak in the Pennine Alps of Switzerland, known for its rugged terrain and high elevation within the Mischabel range.
  • B. Kékes chosen
    Kékes is the highest peak in Hungary, known for its popular hiking trails and ski resort facilities.
  • C. Kneiff
    Kneiff is the highest natural point in Luxembourg, located in the northern Ardennes region near the town of Troisvierges.
  • D. Andrimont
    Andrimont is a village in the municipality of Dison, located in the province of Liège in eastern Belgium.
  • E. Kulm
    Kulm, now known as Chełmno in Poland, is a historic town on the Vistula River notable for its medieval architecture and role in the history of Royal Prussia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb45264988190a1df13e8b54a85bd completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda922f29c8190af98a8241d86f7cd completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.